Recently, the team of Professor Cheng Xiaomin and Miao Xiangshui from our institute published their latest research findings on programmable photosensors for multiscale reservoir computing in "Advanced Functional Materials". The paper is titled "Programmable Photosensor with a Gate-Tunable Schottky Barrier for Multiscale Reservoir Computing". This study proposes a programmable photosensor based on a gate-tunable Schottky barrier, achieving nonlinear dynamic processing of optical signals through the synergistic regulation of light intensity and gate voltage. The sensor adopts a coupled structure of two-dimensional materials and ferroelectric dielectrics, utilizing the electric field modulation effect of ferroelectric polarization on the Schottky barrier to construct reconfigurable photoresponse characteristics. Experiments demonstrate that the device, under dual-parameter encoding of light intensity and gate voltage, can achieve multiscale feature extraction and reservoir computing functions, showing potential applications in the fields of optical communication, neuromorphic computing, and low-power intelligent sensing.